Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorCorcuera Valverde, José Manuel-
dc.contributor.authorBorrós Cullell, Pau-
dc.descriptionTreballs Finals de Grau de Matemàtiques, Facultat de Matemàtiques, Universitat de Barcelona, Any: 2018, Director: José Manuel Corcuera Valverdeca
dc.description.abstract[en] Mean Field Games theory allows to find Nash Equilibria for games with a large number of players by analyzing the asymptotic behaviour when N tends to infinity. In the limit, equations simplify and the cost functions can be viewed as functions of an action of a generic player and a probability measure instead of viewed as a function of N actions of the players. In this work we will present this theory and we will show how to solve optimal control problems that we find when we take the limit of the N player games. We will also develop 2 examples of Mean Field
dc.format.extent41 p.-
dc.rightscc-by-nc-nd (c) Pau Borrós Cullell, 2019-
dc.subject.classificationTeoria de jocsca
dc.subject.classificationTreballs de fi de grau-
dc.subject.classificationJocs no cooperatius (Matemàtica)ca
dc.subject.classificationOptimització matemàticaca
dc.subject.classificationAnàlisi estocàsticaca
dc.subject.otherGame theoryen
dc.subject.otherBachelor's thesis-
dc.subject.otherNoncooperative games (Mathematics)en
dc.subject.otherMathematical optimizationen
dc.subject.otherStochastic analysisen
dc.titleJocs de camp mitjàca
Appears in Collections:Treballs Finals de Grau (TFG) - Matemàtiques

Files in This Item:
File Description SizeFormat 
memoria.pdfMemòria276.74 kBAdobe PDFView/Open

This item is licensed under a Creative Commons License Creative Commons